Part of the tasks we are tackling here have also been attacked by the
algorithm described in [1]} so we can compare the quality of
detection or prediction by these two algorithms which are based on completely
different principles. Similar as with the latter algorithm and unlike, for
example, typical neural-net classification methods[2]} with
back-propagation, we try to avoid optimizations over high-dimensional search
ranges and prefer finding some best rater in a limited set of raters over
trying to find a good rater in a giant search range.
